01
Top up your balance
Start with a minimum $10 top-up. Your first successful top-up adds bonus credit equal to 50% of the amount actually paid.
$10 minimum · First top-up +50%
Pay for what you use.
From your first experiment to production at scale, use the models you need through one API. Top up from $10, pay for actual usage, and grow without a fixed monthly fee.
No fixed monthly fee$10 minimum top-up50% extra credit on your first successful top-upRates based on model and usage
How billing works
One account balance across models. Each call is measured by the model’s billing unit and shown in your account.
02
Choose a model
Compare model rates before you call. Charges depend on the model, selected specification, billing unit and actual usage.
Tokens · Images · Video time
03
Review your usage
Check request records and costs by model in your account. Use the usage view to follow how your balance is spent.
Dashboard → Usage
| Provider | Model | Category | Price | Details |
|---|---|---|---|---|
| Xiaomi |  MiMo-V2.6-Pro | Text | InputUSD 0.32 / 1M tokensOutputUSD 0.64 / 1M tokens | View model |
| xAI |  Grok 4.7 | Text | InputUSD 1.6 / 1M tokensOutputUSD 4.8 / 1M tokens | View model |
| Xiaomi | MiMo-V2.6-Pro-UltraSpeed | Text | InputUSD 3.48 / 1M tokensOutputUSD 6.96 / 1M tokens | View model |
| Vivgrid |  Viv Fast | Text | InputUSD 0.104 / 1M tokensOutputUSD 0.32 / 1M tokens | View model |
| Unbiased |  Pareto | Text | InputUSD 2 / 1M tokensOutputUSD 6 / 1M tokens | View model |
| Alibaba |  Qwen3.8 Omni Flash | Text | InputUSD 0.09008 / 1M tokensOutputUSD 0.30402 / 1M tokens | View model |
| Quiverai |  Arrow 2 | Image | InputUSD 3.2 / 1M tokensOutputUSD 16 / 1M tokens | View model |
| Quiverai | Arrow 2 Telos | Image | Input · Context ≤ 131072 tokens · Maximum output 65536 tokensUSD 4.8 / 1M tokensOutput · Context ≤ 131072 tokens · Maximum output 65536 tokensUSD 24 / 1M tokens | View model |
| StepFun (China) |  Step 5 Preview | Text | InputUSD 0.8 / 1M tokensOutputUSD 2.16 / 1M tokens | View model |
| Typesafe |  Jev | Other | InputUSD 0.0336 / 1M tokens | View model |
| Inference Net |  Schematron V2 Small | Text | InputUSD 0.04 / 1M tokensOutputUSD 0.184 / 1M tokens | View model |
| Inference Net | Schematron V2 Turbo | Text | InputUSD 0.024 / 1M tokensOutputUSD 0.12 / 1M tokens | View model |
| Sakana AI |  Fugu Max | Text | InputUSD 1.6 / 1M tokensOutputUSD 4.8 / 1M tokens | View model |
| Sakana AI | Fugu Ultra v2 | Text | InputUSD 4 / 1M tokensOutputUSD 24 / 1M tokens | View model |
| DeepSeek |  DeepSeek V4.1 Flash (2026-09-10) | Text | Input · Quantization fp4USD 0.03776 / 1M tokensOutput · Quantization fp4USD 0.096 / 1M tokens | View model |
| Inclusionai |  Ling 3.0 Flash VL | Text | InputUSD 0.048 / 1M tokensOutputUSD 0.144 / 1M tokens | View model |
| OpenAI |  GPT Image 2.5 Flare | Image | InputUSD 4 / 1M tokensOutputUSD 24 / 1M tokens | View model |
| OpenAI | GPT Image 2.5 Sunburst | Image | InputUSD 4 / 1M tokensOutputUSD 24 / 1M tokens | View model |
| Inception |  Mercury 2.5 | Text | InputUSD 0.2 / 1M tokensOutputUSD 0.75 / 1M tokens | View model |
| Openbmb |  MiniCPM5-2B | Text | InputUSD 0.0992 / 1M tokensOutputUSD 0.594 / 1M tokens | View model |
| OpenAI | GPT-6 Astra | Text | InputUSD 8 / 1M tokensOutputUSD 40 / 1M tokens | View model |
| OpenAI | GPT-6 Astra (Fast) | Text | Input · Base context tier (boundary 272001 tokens)USD 16 / 1M tokensOutput · Base context tier (boundary 272001 tokens)USD 80 / 1M tokens | View model |
| Inclusionai | Ling 3.0 Flash Sante | Text | InputUSD 0.06 / 1M tokensOutputUSD 0.176 / 1M tokens | View model |
 Gemini 3.8 Flash | Text | InputUSD 0.6 / 1M tokensOutputUSD 3 / 1M tokens | View model |